Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions

MM Rahman, D Gupta, S Bhatt, S Shokouhmand… - Future Internet, 2024 - mdpi.com
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …

Fuzzy-Based Efficient Healthcare Data Collection and Analysis Mechanism Using Edge Nodes in the IoMT

MNU Khan, Z Tang, W Cao, YA Abid, W Pan, A Ullah - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is an advanced technology that comprises numerous devices
with carrying sensors to collect, send, and receive data. Due to its vast popularity and …

Enhancing anomaly detection: a comprehensive approach with MTBO feature selection and TVETBOOptimized Quad-LSTM classification

RSR NV, N SreeDivya, BN Jagadesh… - Computers and …, 2024 - Elsevier
The rapid growth of computer networks has heightened system vulnerabilities, challenging
traditional Machine Learning (ML) techniques in network anomaly detection due to the …

Multi-Level Deep Neural Network for Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Networking Supported Internet of Things …

YA Abid, J Wu, G Xu, S Fu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the increasing rates of interconnected Internet of Things (IoT) devices within Software-
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …

Autonomous and Intelligent Mobile Multimedia Cyber-Physical System with Secured Heterogeneous IoT Network

A Rehman, K Haseeb, FF Alruwaili, A Ara… - Mobile Networks and …, 2024 - Springer
Abstract The Internet of Things (IoT) and smart technologies perform a vital role in gathering
data to facilitate extreme environments. These systems offer an autonomous management of …

Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

M Rahimi, MR Afrash, S Shadnia… - BMC medical informatics …, 2024 - Springer
Background Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites
from the body during poisoning. Despite its effectiveness, there needs to be more research …

Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics

MAO Ahmed, YA Satar, EM Darwish, EA Zanaty - Brain Informatics, 2024 - Springer
In the field of audiology, achieving accurate discrimination of auditory impairments remains
a formidable challenge. Conditions such as deafness and tinnitus exert a substantial impact …

A Novel Technique for Facial Recognition Based on the GSO‐CNN Deep Learning Algorithm

RH Al-Abboodi, AA Al-Ani - Journal of Electrical and Computer …, 2024 - Wiley Online Library
Face recognition is one of the important elements that can be used for securing the facilities,
emotion recognition, sentiment exploration, fraud analysis, and traffic pattern analysis …

Using Learning Focal Point Algorithm to Classify Emotional Intelligence

A Sakhi, SE Mansour, A Sekkaki - Journal of Robotics and Control …, 2024 - journal.umy.ac.id
Recognizing the fundamental role of learners' emotions in the educational process, this
study aims to enhance educational experiences by incorporating emotional intelligence (EI) …